A Faster Parametric Search for the Integral Quickest Transshipment Problem

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Anapolska, Mariia, Boom, Dario van den, Büsing, Christina, Gersing, Timo
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866912796068806656
author Anapolska, Mariia
Boom, Dario van den
Büsing, Christina
Gersing, Timo
author_facet Anapolska, Mariia
Boom, Dario van den
Büsing, Christina
Gersing, Timo
contents Algorithms for computing fractional solutions to the quickest transshipment problem have been significantly improved since Hoppe and Tardos first solved the problem in strongly polynomial time. For integral solutions, runtime improvements are limited to general progress on submodular function minimization, which is an integral part of Hoppe and Tardos' algorithm. Yet, no structural improvements on their algorithm itself have been proposed. We replace two central subroutines in the algorithm with methods that require vastly fewer minimizations of submodular functions. This improves the state-of-the-art runtime from $ \tilde{O}(m^4 k^{15}) $ down to $ \tilde{O}(m^2 k^5 + m^4 k^2) $, where $ k $ is the number of terminals and $ m $ is the number of arcs.
format Preprint
id arxiv_https___arxiv_org_abs_2505_12975
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Faster Parametric Search for the Integral Quickest Transshipment Problem
Anapolska, Mariia
Boom, Dario van den
Büsing, Christina
Gersing, Timo
Data Structures and Algorithms
Optimization and Control
Algorithms for computing fractional solutions to the quickest transshipment problem have been significantly improved since Hoppe and Tardos first solved the problem in strongly polynomial time. For integral solutions, runtime improvements are limited to general progress on submodular function minimization, which is an integral part of Hoppe and Tardos' algorithm. Yet, no structural improvements on their algorithm itself have been proposed. We replace two central subroutines in the algorithm with methods that require vastly fewer minimizations of submodular functions. This improves the state-of-the-art runtime from $ \tilde{O}(m^4 k^{15}) $ down to $ \tilde{O}(m^2 k^5 + m^4 k^2) $, where $ k $ is the number of terminals and $ m $ is the number of arcs.
title A Faster Parametric Search for the Integral Quickest Transshipment Problem
topic Data Structures and Algorithms
Optimization and Control
url https://arxiv.org/abs/2505.12975